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Claude Opus 4.7 vs GPT-4.1

Claude Opus 4.7

Anthropic

95#7
vs
GPT-4.1

OpenAI

68#127
Signal-by-Signal Comparison
SignalClaude Opus 4.7DeltaGPT-4.1
Capabilities
100
+17
83
Benchmarks
93
+23
70
Pricing
75
-17
92
Context window size
95
0
96
Recency
100
+53
47
Output Capacity
85
+10
75
Overall Result
4 wins
of 6
2 wins
Claude Opus 4.7 wins 4 of 6 signals

Score History

Score History (24 data points)
Claude Opus 4.7GPT-4.1
Claude Opus 4.7

95.1

current score

Leader

Claude Opus 4.7

right now

GPT-4.1

67.7

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Claude Opus 4.7

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

GPT-4.1

OpenAI

Best Value
Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

GPT-4.1 saves you $1150.00/month

That's $13800.00/year compared to Claude Opus 4.7 at your current usage level of 100K calls/month.

66% cheaper
Choose GPT-4.1 for cost optimization

Claude Opus 4.7 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Winner
Claude Opus 4.7

Anthropic

95

Composite Score

GPT-4.1

OpenAI

68

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.7GPT-4.1Winner
Overall Score
95
68
Claude Opus 4.7
Rank#7#127
Claude Opus 4.7
Quality Rank#7#127
Claude Opus 4.7
Adoption Rank#7#127
Claude Opus 4.7
Parameters------
Context Window1000K1048K
GPT-4.1
Pricing$5.00/$25.00/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
83
Claude Opus 4.7
Benchmarks
93
70
Claude Opus 4.7
Pricing
75
92
GPT-4.1
Context window size
95
96
GPT-4.1
Recency
100
47
Claude Opus 4.7
Output Capacity
85
75
Claude Opus 4.7
Benchmark Head-to-Head(12 benchmarks)
Claude Opus: 4GPT-4.1: 0
Claude Opus
GPT-4.1
Normalized 0-100%
MMLU
-89.2%
MMLU-Pro
-81.8%
GPQA Diamond
94.2%56%
MATH-500
-78.5%
HumanEval
-91.5%
SWE-bench Verified
87.6%54.6%
IFEval
-88.2%
BBH
-84%
Arena Elo
14911300
LiveBench
-64.5%
HLE
46.9%5.4%
BigCodeBench
-31.8%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Claude Opus 4.7Elite Tier

Scores 95/100 (rank #7), placing it in the top 98% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1Competitive

Scores 68/100 (rank #127), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 4.7 has a 27-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.7 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-4.1 when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Claude Opus 4.7
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.315
Est. monthly (1M tokens/day)$450.00
GPT-4.1Best Value
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00

GPT-4.1 offers 67% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with GPT-4.1 vs $450.00/month with Claude Opus 4.7 - a $300.00 monthly difference.

Latency & Speed
Claude Opus 4.7Faster
Speed score0/100
GPT-4.1
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Claude Opus 4.7

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 also offers lower per-token costs for high-volume support

Claude Opus 4.7

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1

Batch data extraction

Lower output pricing ($8.00/M) reduces costs when processing thousands of records daily

GPT-4.1

Creative writing & content

Higher overall composite score (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.7

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Claude Opus 4.7
Which Should You Choose?
Our recommendation:
Claude Opus 4.7

Claude Opus 4.7 clearly outperforms GPT-4.1 with a significant 27.39999999999999-point lead. For most general use cases, Claude Opus 4.7 is the stronger choice. However, GPT-4.1 may still excel in niche scenarios.

Claude Opus 4.7
Recommended

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by OpenAI

  • Choose for Cost - 67% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.7GPT-4.1
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.7

Anthropic

$39.00
estimated monthly cost

GPT-4.1

OpenAI

Best Value
$13.20
estimated monthly cost

GPT-4.1 saves you $25.80/month

That's 66% cheaper than Claude Opus 4.7 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterClaude Opus 4.7GPT-4.1
Context Window1M1.0M
Max Output Tokens128,00032,768
Open SourceNoNo
CreatedApr 16, 2026Apr 14, 2025
Last updated: 56m ago

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